SOTAVerified

cross-domain few-shot learning

Its essence is transfer learning. The model needs to be trained in the source domain and then migrated to the target domain. Compliant with (1) the category in the target domain has never appeared in the source domain (2) the data distribution of the target domain is inconsistent with the source domain (3) each class in the target domain has very few labels

Papers

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Showing 26–50 of 74 papers

TitleStatusHype
A Framework of Meta Functional Learning for Regularising Knowledge Transfer—0
Anomaly Crossing: New Horizons for Video Anomaly Detection as Cross-domain Few-shot Learning—0
A Survey of Deep Visual Cross-Domain Few-Shot Learning—0
ConFeSS: A Framework for Single Source Cross-Domain Few-Shot Learning—0
Cross Domain Few-Shot Learning via Meta Adversarial Training—0
Cross-domain few-shot learning with unlabelled data—0
Cross-Domain Few-Shot Learning with Meta Fine-Tuning—0
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey—0
Domain Agnostic Few-Shot Learning For Document Intelligence—0
Exploiting Style Transfer-based Task Augmentation for Cross-Domain Few-Shot Learning—0
FAD: Frequency Adaptation and Diversion for Cross-domain Few-shot Learning—0
Feature Transformation Ensemble Model with Batch Spectral Regularization for Cross-Domain Few-Shot Classification—0
FrLove : Could a Frenchman rapidly identify Lovecraft?—0
From Dataset to Real-world: General 3D Object Detection via Generalized Cross-domain Few-shot Learning—0
How Well Do Self-Supervised Methods Perform in Cross-Domain Few-Shot Learning?—0
Knowledge Distillation Meets Few-Shot Learning: An Approach for Few-Shot Intent Classification Within and Across Domains—0
Large Margin Mechanism and Pseudo Query Set on Cross-Domain Few-Shot Learning—0
Machine learning with limited data—0
MemREIN: Rein the Domain Shift for Cross-Domain Few-Shot Learning—0
Meta-Exploiting Frequency Prior for Cross-Domain Few-Shot Learning—0
Multimodal Cross-Domain Few-Shot Learning for Egocentric Action Recognition—0
Prompt as Free Lunch: Enhancing Diversity in Source-Free Cross-domain Few-shot Learning through Semantic-Guided Prompting—0
Ranking Distance Calibration for Cross-Domain Few-Shot Learning—0
Reconstruction Target Matters in Masked Image Modeling for Cross-Domain Few-Shot Learning—0
ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning—0
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